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#!/usr/bin/env python
# coding: utf-8
# /*##########################################################################
#
# Copyright (c) 2016-2019 European Synchrotron Radiation Facility
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
# ###########################################################################*/
"""This script is a simple example of how to add your own statistic to a
:class:`~silx.gui.plot.statsWidget.StatsWidget` from customs
:class:`~silx.gui.plot.stats.Stats` and display it.
On this example we will:
- show sum of values for each type
- compute curve integrals (only for 'curve').
- compute center of mass for all possible items
.. note:: for now the possible types manged by the Stats are ('curve', 'image',
'scatter' and 'histogram')
"""
__authors__ = ["H. Payno"]
__license__ = "MIT"
__date__ = "24/07/2018"
from silx.gui import qt
from silx.gui.colors import Colormap
from silx.gui.plot import Plot1D
from silx.gui.plot.stats.stats import StatBase
from silx.gui.utils import concurrent
import random
import threading
import argparse
import numpy
import time
class UpdateThread(threading.Thread):
"""Thread updating the curve of a :class:`~silx.gui.plot.Plot1D`
:param plot1d: The Plot1D to update."""
def __init__(self, plot1d):
self.plot1d = plot1d
self.running = False
super(UpdateThread, self).__init__()
def start(self):
"""Start the update thread"""
self.running = True
super(UpdateThread, self).start()
def run(self):
"""Method implementing thread loop that updates the plot"""
while self.running:
time.sleep(1)
# Run plot update asynchronously
concurrent.submitToQtMainThread(
self.plot1d.addCurve,
numpy.arange(1000),
numpy.random.random(1000),
resetzoom=False,
legend=random.choice(('mycurve0', 'mycurve1'))
)
def stop(self):
"""Stop the update thread"""
self.running = False
self.join(2)
class Integral(StatBase):
"""
Simple calculation of the line integral
"""
def __init__(self):
StatBase.__init__(self, name='integral', compatibleKinds=('curve',))
def calculate(self, context):
xData, yData = context.data
return numpy.trapz(x=xData, y=yData)
class COM(StatBase):
"""
Compute data center of mass
"""
def __init__(self):
StatBase.__init__(self, name='COM', description="Center of mass")
def calculate(self, context):
if context.kind in ('curve', 'histogram'):
xData, yData = context.data
deno = numpy.sum(yData).astype(numpy.float32)
if deno == 0.0:
return 0.0
else:
return numpy.sum(xData * yData).astype(numpy.float32) / deno
elif context.kind == 'scatter':
xData, yData, values = context.data
values = values.astype(numpy.float64)
deno = numpy.sum(values)
if deno == 0.0:
return float('inf'), float('inf')
else:
comX = numpy.sum(xData * values) / deno
comY = numpy.sum(yData * values) / deno
return comX, comY
def main(argv):
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
'--update-mode',
default='manual',
help='update mode to display (manual or auto)')
options = parser.parse_args(argv[1:])
app = qt.QApplication([])
plot = Plot1D()
# Create the thread that calls submitToQtMainThread
updateThread = UpdateThread(plot)
updateThread.start() # Start updating the plot
plot.addScatter(x=[0, 2, 5, 5, 12, 20],
y=[2, 3, 4, 20, 15, 6],
value=[5, 6, 7, 10, 90, 20],
colormap=Colormap('viridis'),
legend='myScatter')
stats = [
('sum', numpy.sum),
Integral(),
(COM(), '{0:.2f}'),
]
plot.getStatsWidget().setStats(stats)
plot.getStatsWidget().setUpdateMode(options.update_mode)
plot.getStatsWidget().setDisplayOnlyActiveItem(False)
plot.getStatsWidget().parent().setVisible(True)
plot.show()
app.exec_()
updateThread.stop() # Stop updating the plot
if __name__ == '__main__':
main(sys.argv)
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